Release Strategies and the Social Impacts of Language Models. - Irene Solaiman; Miles Brundage; Jack Clark; Amanda Askell; Ariel Herbert-Voss; Jeff Wu 003; Alec Radford; Jasmine Wang (CoRR, 2019)

Fine-Tuning Language Models from Human Preferences. - Daniel M. Ziegler; Nisan Stiennon; Jeffrey Wu 003; Tom B. Brown; Alec Radford; Dario Amodei; Paul F. Christiano; Geoffrey Irving (CoRR, 2019)

Generative Pretraining From Pixels. - Mark Chen 003; Alec Radford; Rewon Child; Jeffrey Wu 003; Heewoo Jun; David Luan; Ilya Sutskever (ICML, 2020)

Language Models are Few-Shot Learners. - Tom B. Brown; Benjamin Mann; Nick Ryder; Melanie Subbiah; Jared Kaplan; Prafulla Dhariwal; Arvind Neelakantan; Pranav Shyam; Girish Sastry; Amanda Askell; Sandhini Agarwal; Ariel Herbert-Voss; et al. (NeurIPS, 2020)

Learning to summarize with human feedback. - Nisan Stiennon; Long Ouyang; Jeffrey Wu 003; Daniel M. Ziegler; Ryan Lowe; Chelsea Voss; Alec Radford; Dario Amodei; Paul F. Christiano (NeurIPS, 2020)

Scaling Laws for Neural Language Models. - Jared Kaplan; Sam McCandlish; Tom Henighan; Tom B. Brown; Benjamin Chess; Rewon Child; Scott Gray; Alec Radford; Jeffrey Wu 003; Dario Amodei (CoRR, 2020)

Learning to summarize from human feedback. - Nisan Stiennon; Long Ouyang; Jeff Wu 003; Daniel M. Ziegler; Ryan Lowe; Chelsea Voss; Alec Radford; Dario Amodei; Paul F. Christiano (CoRR, 2020)

Recursively Summarizing Books with Human Feedback. - Jeff Wu 003; Long Ouyang; Daniel M. Ziegler; Nisan Stiennon; Ryan Lowe; Jan Leike; Paul F. Christiano (CoRR, 2021)

WebGPT: Browser-assisted question-answering with human feedback. - Reiichiro Nakano; Jacob Hilton; Suchir Balaji; Jeff Wu 003; Long Ouyang; Christina Kim; Christopher Hesse; Shantanu Jain; Vineet Kosaraju; William Saunders; Xu Jiang; Karl Cobbe; et al. (CoRR, 2021)

Training language models to follow instructions with human feedback. - Long Ouyang; Jeffrey Wu 003; Xu Jiang; Diogo Almeida; Carroll L. Wainwright; Pamela Mishkin; Chong Zhang; Sandhini Agarwal; Katarina Slama; Alex Ray; John Schulman; Jacob Hilton; et al. (NeurIPS, 2022)

Self-critiquing models for assisting human evaluators. - William Saunders; Catherine Yeh; Jeff Wu 003; Steven Bills; Long Ouyang; Jonathan Ward; Jan Leike (CoRR, 2022)

Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision. - Collin Burns; Pavel Izmailov; Jan Hendrik Kirchner; Bowen Baker; Leo Gao; Leopold Aschenbrenner; Yining Chen; Adrien Ecoffet; Manas Joglekar; Jan Leike; Ilya Sutskever; Jeffrey Wu 003 (ICML, 2024)

Scaling and evaluating sparse autoencoders. - Leo Gao; Tom Dupré la Tour; Henk Tillman; Gabriel Goh; Rajan Troll; Alec Radford; Ilya Sutskever; Jan Leike; Jeffrey Wu 003 (ICLR, 2025)

Open Problems in Mechanistic Interpretability. - Lee Sharkey; Bilal Chughtai; Joshua Batson; Jack Lindsey; Jeff Wu 003; Lucius Bushnaq; Nicholas Goldowsky-Dill; Stefan Heimersheim; Alejandro Ortega; Joseph Isaac Bloom; Stella Biderman; Adrià Garriga-Alonso; et al. (CoRR, 2025)